Design and implementation of Zhejiang water conservancy network security situation perception and supervision platform
In response to the weak information perception capability,delayed detection of system risks,and slow automatic alarm and disposals in the Zhejiang water conservancy network security,a supervision platform tailored to the network security situation perception of the Zhejiang water conservancy is designed.Leveraging perception technologies such as data collection,fusion,correlation analysis,situation prediction and other perception technologies,combined with machine learning,artificial intelligence,NLP analysis and SOAR technical capabilities,the platform architecture consists of four layers:security situation extraction,situation analysis,situation prediction,management and feedback adjustment.This platform enables real-time monitoring,early warning and threat disposal,alarm management,display of security situation indices,and automatic emergency response.With the network security situation perception platform,it is possible to discover,identify,analyze,predict and address network security threats comprehensively,which improves the automatic alarm and disposal reaction speed,and enhance the security monitoring and proactive defense capabilities.